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Get results as they occur from unlimited sources: RSS feeds, Telegram channels, Fediverse. Use existing and discover new sources based on your query. Advanced filtering: text keywords, number search, structured search, group conditions. Best to get insights, monitor mentions in the media or find an offer.
Qrvey is the only solution for embedded analytics with a built-in data lake. Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application.
Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less.
Qrvey’s multi-tenant data lake includes:
Qrvey’s embedded visualizations support everything from: - Standard dashboards and templates - Self-service reporting - User-level personalization - Individual dataset creation - Data-driven workflow automation
Qrvey delivers this as a self-hosted package for cloud environments. This offers the best security as your data never leaves your environment while offering a better analytics experience to users.
The result: Less time and money on analytics.
Awakari QrveyNo Awakari videos yet. You could help us improve this page by suggesting one.
Awakari's answer
Qrvey's answer:
Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies
Awakari's answer
The only genuine real-time search available currently
Qrvey's answer:
Qrvey takes a different approach to embedded analytics. Instead of focusing almost completely on the front end, we know that any analytics function starts with data.
Qrvey includes a full-featured data lake powered by Elasticsearch, not a basic relational caching layer. Furthermore, by including a data lake, the cost to scale out is much less than traditional data warehouses.
For the user-facing components of the platform, Qrvey offers more embedded components and APIs to personalize the experience beyond static dashboards. Qrvey offers:
All of this is backed by a semantic layer that makes integrating Qrvey into the security model of SaaS applications simple.
Awakari's answer
Save your time and get results as they occur
Qrvey's answer:
Customers choose Qrvey for the following reasons:
Awakari's answer
Kubernetes, gRPC, Golang, MongoDB, Redis, Nats, Telegram, RSS, ActivityPub
Qrvey might be a bit more popular than Awakari. We know about 1 link to it since March 2021 and only 1 link to Awakari. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
What is Awakari now? This is a free to use public service that tracks many event sources and notifies you immediately when something relevant is caught. Source: 7 months ago
Since you're on AWS already, check out https://qrvey.com. Source: 7 months ago
Inoreader - Dive into your favorite content. The content reader for power users who want to save time.
DevicePilot - DevicePilot is a universal cloud-based software service allowing you to easily locate, monitor and manage your connected devices at scale.
ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.
Syndigo - Syndigo is an online management platform that provides access to the world’s biggest global content database of digital information.
Feedly - The content you need to accelerate your research, marketing, and sales.
AnswerRocket - AnswerRocket is a search-powered analytics that makes it possible to get answers from business data by asking natural language questions.
